Related Experiment Videos
[Clinical probability evaluation models in patients with pulmonary thromboembolism]
José María Calvo Romero1, Pedro Bureo Dacal, Manuel Pérez Miranda
1Servicio de Medicina Interna. Hospital Universitario Infanta Cristina. Badajoz. España. jmcromero@eresmas.com
Medicina Clinica
|April 12, 2003
Summary
Clinical probability models for pulmonary thromboembolism (PTE) are comparable. A low clinical probability score makes PTE diagnosis unlikely, with only about one-third of PTE patients having a high score.
Area of Science:
- Pulmonary Medicine
- Diagnostic Accuracy
- Clinical Decision-Making
Context:
- Pulmonary thromboembolism (PTE) diagnosis requires accurate clinical probability (CP) assessment.
- Existing CP models aid in evaluating patients with suspected PTE.
- This study compares three established CP models.
Purpose:
- To evaluate and compare the performance of three clinical probability models for diagnosing pulmonary thromboembolism.
- To determine the distribution of high and low CP scores across different models in PTE patients.
Summary:
- Three clinical probability models (Miniati, Wells, Wicki) were assessed in 154 PTE patients.
- High CP was observed in 11.7-14.3% and low CP in 0-1.9% across models.
- Model performance was comparable, with low CP strongly suggesting absence of PTE.
Impact:
- Clinical probability models are valuable tools for ruling out PTE.
- Understanding CP score distribution aids in diagnostic test selection.
- These findings support the utility of CP models in routine clinical practice.